EP4078169A1 - Procédé et dispositif de surveillance de transitions multiples - Google Patents

Procédé et dispositif de surveillance de transitions multiples

Info

Publication number
EP4078169A1
EP4078169A1 EP20823862.6A EP20823862A EP4078169A1 EP 4078169 A1 EP4078169 A1 EP 4078169A1 EP 20823862 A EP20823862 A EP 20823862A EP 4078169 A1 EP4078169 A1 EP 4078169A1
Authority
EP
European Patent Office
Prior art keywords
measurement
transition
analyte
peak
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20823862.6A
Other languages
German (de)
English (en)
Inventor
Florian SCHWEINBERGER
Aart Pieter VAN DOORN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
F Hoffmann La Roche AG
Roche Diagnostics GmbH
Original Assignee
F Hoffmann La Roche AG
Roche Diagnostics GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by F Hoffmann La Roche AG, Roche Diagnostics GmbH filed Critical F Hoffmann La Roche AG
Publication of EP4078169A1 publication Critical patent/EP4078169A1/fr
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8624—Detection of slopes or peaks; baseline correction
    • G01N30/8631—Peaks
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/10—Signal processing, e.g. from mass spectrometry [MS] or from PCR
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8658—Optimising operation parameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8675—Evaluation, i.e. decoding of the signal into analytical information
    • G01N30/8679—Target compound analysis, i.e. whereby a limited number of peaks is analysed
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
    • G01N2030/8809—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample
    • G01N2030/8813—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample biological materials
    • G01N2030/8831—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86 analysis specially adapted for the sample biological materials involving peptides or proteins
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/62—Detectors specially adapted therefor
    • G01N30/72—Mass spectrometers
    • G01N30/7233—Mass spectrometers interfaced to liquid or supercritical fluid chromatograph
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08—Feature extraction
    • G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • G06F2218/14—Classification; Matching by matching peak patterns

Definitions

  • the invention relates to a method and a device for multiple transition monitoring using mass spectrometry techniques, specifically liquid chromatography and mass spectrometry.
  • MRM Multiple transition monitoring
  • Known methods such as scheduled MRMs use only the times frames in a liquid chromatography run that is relevant to a certain transition. For example, analyte X with MRM Y is resulting in peak Z at time x and, thus, only a certain time of relevance such as x-15s to x+15s may be record ed.
  • a certain time frame is defined with respect to a certain time before and after the peak maximum of the peak, usually referred to as the retention time.
  • US 2017/0328874 A1 describes a chromatograph mass spectrometer including: an MSn-1 analysis setter for setting an analysis execution period for performing an MSn-1 analysis, an execution time for the analysis and a loop time; an analysis period divider for dividing the analysis period into segments according to a change in number or analysis condition of MSn-1 analyses to be performed within the same time window; an MSn analysis setter for performing MSn-1 analysis to obtain mass spectrum data and for scheduling MSn analy sis, an ion corresponding to a peak satisfying a set condition being designated as a precur sor ion; an MSn analysis execution time allotter for allotting, in each segment, a time peri od for execution of the MSn analysis, the time period being calculated by subtracting an event execution time from the loop time; and an analysis executer for repeatedly perform ing MSn-1 analysis and MSn analysis in each segment.
  • WO 2017/216934 A1 describes an analysis schedule which is pre-created such that streams of a plurality of liquid chromatograms can operate in parallel and a mass spectrometer can collect data at the timing of each component elution.
  • a control unit controls so as to: di vide the time required to analyze each sample in a plurality of liquid chromatogram sys tems into pre-collection time, time during collection, and post-collection time; search and allocate time positions in which the time during collection in the liquid chromatogram units do not overlap; determine start times for the plurality of liquid chromatogram units to thereby create an analysis schedule; and thereafter perform analysis.
  • the control unit fur ther stores parameter sets for varying component elution times, adjusts analysis parameters so as to make data collection timings suitable for creating an analysis schedule, and chang es the component elution times.
  • US 2015/0102219 A1 describes prior to multiple reaction monitoring measurement condi tion optimization, an analysis operator which prepares, for each precursor ion of an objec tive compound, two lists on a product-ion selection condition setting screen, i.e. a list which shows ions to be preferentially selected as product ions for which the optimization needs to be performed and a list which shows ions to be excluded from the optimization.
  • a product-ion scan measurement for the precursor ion of the objective compound is performed and a spectrum is obtained.
  • any ion registered in the excludable-ion list is excluded, while any ion registered in the preferred-ion list is preferentially selected as a product ion.
  • optimum conditions of the MRM measurement are searched for.
  • US 9,040,903 B2 describes mass spectrometry systems and methods which utilize a dy namic a data acquisition/instrument control methodology. These systems and methods em ploy artificial intelligence algorithms to greatly increase quantitative and/or identification accuracy during data acquisition. In an embodiment, the algorithms can adapt the instru ment methods and systems during data acquisition to direct data acquisition resources to increase quantitative or identification accuracy of target analytes, such as proteins, pep tides, and peptide fragments.
  • target analytes such as proteins, pep tides, and peptide fragments.
  • WO 2018/116039 A1 describes systems and methods for identifying actual XIC peaks of compounds of interest from samples.
  • an actual XIC peak is identified using standard samples. The ratio of the quantity of the compound of interest in any two different samples is known, so this ratio is compared to the intensities of the XIC peak calculated in the two samples to identify an actual XIC peak.
  • an actual XIC peak is identified using information about other compounds of interest in a plurality of samples. It is known that the XIC peaks of compounds of interest in the same samples have a similar distribution of retention times across those samples, so the distributions of retention times of XIC peaks are compared to identify actual XIC peaks.
  • JP 05835086 B2 describes creation of a mass calibration table. After a specimen is injected into a specimen vaporization chamber of GC, before the lapse of the time for completely eluting a specimen solvent from a column, mass analysis is not performed and data are not collected, either. Thus, mass calibration is prevented from being performed by erroneously utilizing an analysis result of the solvent. Thereafter, collection of data is started by scan measurement and when a signal strength of TIC becomes equal to or higher than a thresh old value, it is recognized that the elution of components for mass calibration is started. Then, the scan measurement is executed while changing a scan speed, a mass spectrum of the different scan speed with respect to the component for mass calibration is acquired and based on the mass spectrums, a mass calibration table is created.
  • SRM selected reaction monitoring
  • Scheduled MRM in particular works well for very defined measurements and/or analyte mixtures with high concentrations. Despite the advantages of scheduled MRM, however, there is growing interest for maximizing column lifetimes, which may go hand in hand with significant peak shifts such that scheduled MRM with a fixed time frame for peak recording may lead to non reliable and incorrect results.
  • the method and the device shall allow reliable and cor- rect multiple transition monitoring even in case of retention time shifts due to column ag ing, capillary exchanges, solvent composition inaccuracies, and other factors.
  • the method and the device shall allow lowering limit of quantification, specifically for crit ical analytes.
  • the terms “have”, “comprise” or “include” or any arbitrary grammatical variations thereof are used in a non-exclusive way. Thus, these terms may both refer to a situation in which, besides the feature introduced by these terms, no further features are present in the entity described in this context and to a situation in which one or more further features are present.
  • the expressions “A has B”, “A comprises B” and “A includes B” may both refer to a situation in which, besides B, no other element is present in A (i.e. a situation in which A solely and exclusively consists of B) and to a situation in which, besides B, one or more further elements are present in entity A, such as element C, elements C and D or even further elements.
  • the terms “preferably”, “more preferably”, “particularly”, “more particularly”, “specifically”, “more specifically” or similar terms are used in con junction with optional features, without restricting alternative possibilities.
  • features introduced by these terms are optional features and are not intended to restrict the scope of the claims in any way.
  • the invention may, as the skilled person will recognize, be per formed by using alternative features.
  • features introduced by “in an embodiment of the invention” or similar expressions are intended to be optional features, without any restriction regarding alternative embodiments of the invention, without any restrictions regarding the scope of the invention and without any restriction regarding the possibility of combining the features introduced in such way with other optional or non-optional features of the invention.
  • a method for multiple transition monitoring using a liquid chromatography mass spectrometry device is disclosed.
  • multiple transition monitoring also denoted multiple reaction monitoring (MRM)
  • MRM multiple reaction monitoring
  • the term specifically may refer, without limitation, to a method used in mass spectrometry, specifically in tandem mass spectrometry, in which multiple product ions from one or more precursor ions are monitored.
  • the term “monitored” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specif ically may refer, without limitation, to determining and/or detecting of multiple product ions.
  • liquid chromatography mass spectrometry device is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a combination of liquid chromatography with mass spec trometry.
  • the liquid chromatography mass spectrometry device may be or may comprise at least one high-performance liquid chromatography (HPLC) device or at least one micro liquid chromatography (pLC) device.
  • HPLC high-performance liquid chromatography
  • pLC micro liquid chromatography
  • the liquid chromatography mass spectrometry de vice may comprise a liquid chromatography (LC) device and a mass spectrometry (MS) device, wherein the LC device and the MS are coupled via at least one interface.
  • LC liquid chromatography
  • MS mass spectrometry
  • liquid chromatography (LC) device is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an analytical module configured to separate one or more analytes of interest of a sample from other components of the sample for detection of the one or more analytes with the mass spectrometry device.
  • the LC device may comprise at least one LC column.
  • the LC device may be a single-column LC device or a multi-column LC de vice having a plurality of LC columns.
  • the LC column may have a stationary phase through which a mobile phase is pumped in order to separate and/or elute and/or transfer the analytes of interest.
  • the LC column may be exchangeable, for example after a prede fined or pre-determined time and/or number of runs, and/or other suitable counters.
  • the LC column may be exchanged if one or more thresholds of one or more of a volume of solvent, a number of switching event of valves, a number of runs, a number of injections, a number of samples, a number of samples of a certain type, an LC pres sure/curves are reached.
  • the term “mass spectrometry device” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to a mass analyzer configured for detecting at least one ana lyte based on mass to charge ratio.
  • the mass spectrometry device may be or may comprise at least one quadrupole mass spectrometry device.
  • the interface coupling the LC device and the MS may comprise at least one ionization source configured for generating of mo lecular ions and for transferring of the molecular ions into the gas phase.
  • sample is a broad term and is to be given its ordinary and cus tomary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to an arbitrary sample such as a biological sample, also called test sample, a quality control sample, an internal standard sample.
  • the sample may comprise one or more analytes of interest.
  • the test sample may be selected from the group consisting of: a physiological fluid, including blood, serum, plasma, saliva, ocular lens fluid, cerebral spinal fluid, sweat, urine, milk, ascites fluid, mucous, synovial fluid, peritoneal fluid, amniotic fluid, tissue, cells or the like.
  • the sample may be used directly as obtained from the respective source or may be subject of a pretreatment and/or sample preparation workflow.
  • the sample may be pretreated by adding an internal standard and/or by being diluted with an other solution and/or by having being mixed with reagents or the like.
  • ana lytes of interest may be vitamin D, drugs of abuse, therapeutic drugs, hormones, and me tabolites in general.
  • the quality control sample may be a sample that mimics the test sam ple, and that contains known values of one or more quality control substances.
  • the quality control substance may be identical to the analyte of interest or may be an analyte which generates by reaction or derivatization an analyte identical to the analyte of interest and/or may be an analyte of which the concentration is known and/or may be a substance which mimics the analyte of interest or that can be otherwise correlated to a certain analyte of interest.
  • the internal standard sample may be a sample comprising at least one internal standard substance with a known concentration.
  • the method comprises the following steps which, as an example, may be performed in the given order. It shall be noted, however, that a different order is also possible. Further, it is also possible to perform one or more of the method steps once or repeatedly. Further, it is possible to perform two or more of the method steps simultaneously or in a timely over lapping fashion. The method may comprise further method steps which are not listed.
  • the method comprises the following steps: a) determining at least one data set from at least one data base, the data set comprising at least one reference measurement of at least one transition of at least one analyte with the liquid chromatography mass spectrometry device; b) determining at least one reference peak information of the transition of the ana lyte using an initial setting of a measurement window, wherein the measurement window is defined by a time frame of retention times; c) determining an actual setting of the measurement window considering the refer ence peak information, wherein the determining comprises adjusting the time frame; d) measuring the transition of the analyte with the liquid chromatography mass spectrometry device and determining a measured peak information of the transi tion of the analyte using the actual setting of the measurement window.
  • the term “data set” is a broad term and is to be given its ordinary and cus tomary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to stored and/or deposited information about at least one previous MRM measurement such as from previous runs.
  • the information about the previous MRM measurement may comprise at least one chromatogram and/or at least one information evaluated from the chromatogram such as peak maximum, retention time, peak start time, peak end time, peak width, in par ticular the full width half maximum, peak shape, tailing factor, and/or any type of peak fitting and filtering.
  • os is the peak width at 0.05 of the peak height and d is a distance between a perpendicu lar line through the peak maximum and a leading edge of the peak at 0.05 of the peak height.
  • data base is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning. The term specifically may refer, without limitation, to a collection of data comprising the at least one data set.
  • the data base may comprise at least one table and/or at least one look-up table in which the at least one data set is stored.
  • the data base may comprise at least one storage unit configured to store the data set.
  • the term “determining at least one data set from at least one data base” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to access the data base and to retrieve the data set from the data base.
  • the term “reference measurement” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limi tation, to at least one previous MRM measurement such as a MRM measurement of a pre vious run and/or at least one prediction about a MRM measurement.
  • the reference meas urement may comprise or may be at least one known MRM transition.
  • the reference measurement may be at least one measurement of at least one quality control sample ac quired during a previous quality control run and/or at least one measurement of at least one internal standard sample acquired during a previous internal standard sample run and/or at least one measurement of the test sample acquired during a previous run.
  • the reference measurement may be at least one measurement acquired and/or determined and/or meas ured in the same way and under the same or at least similar and/or comparable conditions as the measurement of the actual test sample.
  • the reference measurements and the measur ing of the transition of the analyte may be performed under substantially the same condi tions.
  • the reference measurement and the measuring of the transition of the analyte may be performed under constant chromatographic conditions, specifically with the same LC column and eluents.
  • the method may apply to known compounds and well- known conditions.
  • the method may however also comprise predicting at least one refer ence measurement, specifically in case of changes of gradients. The predicting may com prise considering aging of LC column, capillary exchanges, solvent composition inaccura cies, and other factors.
  • reference peak information is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limi tation, to at least one information of a peak, i.e. a local maximum, of the chromatogram corresponding and/or relating to the analyte of interest of the reference measurement which is suitable to limit the relevant time frame for measurement of the analyte of interest.
  • the reference peak information may comprise one or more of: peak maximum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor and/or any type of peak fitting and filtering.
  • the determining of the reference peak information may comprise evaluating the reference measurement.
  • the evaluating may comprise performing at least one data analysis comprising performing at least one peak finding algorithm and/or performing at least one peak fitting algorithm.
  • the evaluating may comprise one or more of checking of raw data, preprocessing, smoothen- ing, background reduction or removal, peak detection, peak integration.
  • the term “measurement window” is a broad term and is to be given its or dinary and customary meaning to a person of ordinary skill in the art and is not to be lim ited to a special or customized meaning. The term specifically may refer, without limita tion, to a time frame in which the measurement of the analyte of interest is performed.
  • the measurement window is defined by a time frame of retention times.
  • the term “setting” of the measurement window is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to values for one or both limits of the measurement window.
  • the setting of the measurement window may comprise one or both of a value for a lower limit of the measurement window, i.e. a retention time at which the measurement starts, and a value for an upper limit of the measurement window, i.e. a retention time at which the measurement stops.
  • the term “initial setting” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus tomized meaning.
  • the term specifically may refer, without limitation, to a setting of the measurement window which is used for determining the reference peak information.
  • the initial setting may be pre-determined and/or pre-defmed.
  • the initial setting may be a default setting which may be deposited in the data base.
  • the method may comprise at least one initial calibration step, wherein in the initial calibration step the reference measurement and/or the initial setting may be determined.
  • the initial calibration step may be performed during and/or subsequent to at least one quality control run of the liquid chromatography mass spectrometry device and/or during and/or subsequent to at least one internal standard samples run.
  • a start of the initial calibration step may be triggered by changing of a col umn of the liquid chromatography mass spectrometry device and/or after a predefined or pre-determined time and/or after a predefined or predetermined number of runs, or other suitable counters.
  • the term "trigger” as used herein, may refer to either an automatic pro cedure that is initiated and executed automatically or a warning generated for and prompt ing a user to manually set the setting to the initial setting.
  • the initial setting may be a setting of the measurement window determined from the measurement of at least one prior run or a plurality of prior runs, such as a mean value for the limits of the time frame.
  • the term “actual setting” is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or cus tomized meaning.
  • the term specifically may refer, without limitation, to a setting of the measurement window determined by considering the reference peak information deter mined in step b).
  • the actual setting may be determined considering the preceding measurement or a plurality of preceding measurements.
  • the determining of the actual set ting may comprise evaluating the reference peak information and thereby determining a lower and/or an upper limit of the measurement window. Specifically, at least one auto mated analysis of retention times may be performed. Moreover, the measurement window may be automatically reassigned.
  • the actual setting may be determined and/or calculated based on expected retention time and tailing factor. The actual setting may be determined by comparing peak, in particular signal intensity, and background. For example, signal intensity and background may be compared by defining and/or using at least one threshold value at which the peak starts and/or at least one threshold value at which the peak ends. The actual setting may be determined by making a prediction based on a plurality of da tasets.
  • the initial setting may comprise a broader time frame of retention times compared to the actual setting and/or the actual setting may be shifted in retention time compared to the initial setting. In the latter case the width of the measurement window may be maintained. Specifically, the initial setting of the measurement window may be selected so broad such that it is ensured that the peak corresponding to the analyte of interest lies within the time frame. Subsequently the initial setting of the measurement window may be optimized in view of measurement results which allows for reducing width of the measurement window and/or for positioning the measurement window, specifically to take into account changes of the LC column such as due to aging or other changes.
  • the reference measurement may comprise or may be a known MRM transition, wherein the method comprises optimizing their measurement.
  • determining the actual setting is a broad term and is to be given its ordinary and customary meaning to a person of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to adapting and/or changing the initial setting of the measurement window de pending on at least one subsequent measurement.
  • the timing of the measurement may be fixed. However, due to variation of the peak position as a result of ongoing analysis, spe cifically in case of repeatedly performing method steps a) to d), the retention time may shift and may be adapted based on prior measurements.
  • the method may comprise adjust ment of the MRM scheduled timing as a function of changing parameters over time. Thus, the optimized retention time may be used to optimize scheduled MRM measurements and thus freeing up time for more MRM transitions.
  • the method comprises in step d) measuring the transition of the analyte within a sample with the liquid chromatography mass spectrometry device.
  • the measurement may be trig gered by a user, e.g. by entering at least one input to at least one human-machine-interface of the liquid chromatography mass spectrometry device.
  • the actual setting of the measurement window is used for determining the measured peak information of the transition of the analyte.
  • the term “measured peak in formation” is a broad term and is to be given its ordinary and customary meaning to a per son of ordinary skill in the art and is not to be limited to a special or customized meaning.
  • the term specifically may refer, without limitation, to at least one information of a peak of the chromatogram measured in step d) corresponding and/or relating to the analyte of in terest using the actual setting of the measurement window.
  • the measured peak information comprises one or more of: peak maximum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor.
  • the de termining of the measured peak information may comprise evaluating the actual measure ment.
  • the evaluating may comprise performing at least one data analysis comprising per forming at least one peak finding algorithm and/or performing at least one peak fitting al gorithm.
  • the method further may comprise updating the data set by adding the measurement of the transition of the analyte to the data set.
  • the data set may be updated after performing step d) such that the subsequent step a) is performed using an updated initial setting.
  • the updating may be performed permanently.
  • Method steps a) to d) may be performed repeatedly.
  • the most recent measure ment may be used as reference measurement.
  • the reference peak information of the transition of the analyte may be determined using the most recently determined actual setting as initial setting.
  • a mean value of a plurality of preceding measurements may be used as reference measure ment.
  • the mean value may be determined by using at least five preceding measurements. Additionally or alternatively, in particular in case of larger changes between runs, a mov ing average of a plurality of preceding measurements may be used as reference measure ment. Additionally or alternatively, a maximum amount of preceding measurements for calculating the mean value may be limited. Using more than one measurement may ensure that the reference data is corrected with respect to outliers or sample influence.
  • the detection window may be a time frame in which the mass spec trometry device has to perform a measurement of a sample.
  • the detection window may be the maximum time possible between two consecutive sample inputs in the LC column.
  • the method may further comprise at least one m-silu adjustment step.
  • the m-silu adjust ment step may be performed during step d).
  • intensity of the transition of the analyte may be monitored during the measurement and compared to at least one predetermined or predefined threshold level.
  • the liquid chromatography mass spectrometry device may comprise at least one further data base configured for storing at least one definition of threshold levels and/or threshold values.
  • the at least one threshold level and/or the at least one threshold value may be defined by percentual change of signal intensity to background. Additionally or alternatively, at least one abso lute value may be used as threshold for determining exceedance or undershoot.
  • the further data base may be configured to receive input information from the data base such as values for the threshold levels.
  • the threshold levels may be data driven. If the intensity falls below the predefined threshold level acquisition of the transition may be stopped.
  • the pre determined or predefined threshold level may be defined by a factor X times the signal-to- noise ratio which is also known from the start.
  • the m-situ adjustment step may be imple mented as a feedback loop with automated live adjustment of measurement parameter. For example, a measurement, i.e. a specific MRM, may start at a time known on the basis of previous measurements. A run time of the measurement may be determined on the basis of an actual measured intensity of this MRM.
  • the acquisition of that MRM may be stopped and may allow to free dwell time for other MRMs running at the same time.
  • This approach may be reliable for well articulated peaks.
  • problems may arise when signal to noise is low, e.g. a small peak with high variation in individual signal.
  • the predetermined or predefined threshold level may be given by an end of a fit curve such as a Gaussian curve.
  • the fit curve may allow defining the peak region such as start of the peak and end of the peak.
  • a certain peak height at the end of the peak denoted as end of the fit curve, may be used as threshold level.
  • a fit curve such as a Gaussian curve can be used since the fit parame ters of the Gaussian or other fit curve may be determined from the one or more preceding measurements. This may allow determining all parameters of the fit curve with only a sin gle iteration. Additionally or alternatively, the fit curve may be determined from a meas urement of an internal standard. This may allow accelerating the fitting procedure. Addi tionally or alternatively, a combination of fit results of different peaks of the same analyte may be used to enhance robustness of the fit result.
  • the fit curve in particular of a Gaussi an, may be independent or less dependent from background and, thus, advantageous even at high noise.
  • the method steps b) to c) and in step d) the determining of the measured peak information of the transition of the analyte may be performed by at least one computer. Specifically, the method steps b) to c) and in step d) the determining of the measured peak information of the transition of the analyte may be performed fully automatically.
  • the method specifi cally may fully or partially be computer-implemented, specifically on a computer of a de vice for multiple transition monitoring, such as a processor.
  • the method may comprise compensating for column aging and/or for further impacts such as capillary exchanges, solvent composition inaccuracies, and the like.
  • a computer program including computer-executable instructions for performing the method according to any one of the embodiments as described herein is disclosed, specifically method steps a) to c) and determining of the measured peak infor mation in step d), when the program is executed on a computer or computer network, spe cifically a processor of the device for multiple transition monitoring.
  • a computer program including computer-executable instructions for performing the method according to the present in vention in one or more of the embodiments enclosed herein when the program is executed on a computer or computer network.
  • the computer program may be stored on a computer-readable data carrier.
  • one, more than one or even all of the method steps as indicated above may be performed by using a computer or a computer network, preferably by using a computer program.
  • the computer specifically may be fully or partially integrated into the device for multiple transition monitoring, and the computer programs specifically may be embodied as a software. Alternatively, however, at least part of the computer may also be located outside the device for multiple transition monitoring.
  • a computer program product having program code means, in order to perform the method according to the present invention in one or more of the embodiments enclosed herein when the program is executed on a computer or comput er network, e.g. one or more of the method steps mentioned above.
  • the pro gram code means may be stored on a computer-readable data carrier.
  • a data carrier having a data structure stored there on, which, after loading into a computer or computer network, such as into a working memory or main memory of the computer or computer network, may execute the method according to one or more of the embodiments disclosed herein, specifically one or more of the method steps mentioned above.
  • a computer program product with program code means stored on a machine-readable carrier, in order to perform the method according to one or more of the embodiments disclosed herein, when the program is executed on a computer or computer network, specifically one or more of the method steps mentioned above.
  • a computer program product refers to the program as a tradable product.
  • the product may generally exist in an arbitrary format, such as in a paper format, or on a computer-readable data carrier.
  • the computer program product may be distributed over a data network.
  • a modulated data signal which contains instruc tions readable by a computer system or computer network, for performing the method ac cording to one or more of the embodiments disclosed herein, specifically one or more of the method steps mentioned above.
  • a computer or computer network comprising at least one processor, wherein the processor is adapted to perform the method according to one of the embodiments described in this description,
  • - a computer program wherein the computer program is adapted to perform the method according to one of the embodiments described in this description while the program is being executed on a computer
  • - a computer program comprising program means for performing the method accord ing to one of the embodiments described in this description while the computer program is being executed on a computer or on a computer network
  • a data structure is stored on the storage medium and wherein the data structure is adapted to perform the method according to one of the embodiments described in this description after having been loaded into a main and/or working storage of a computer or of a computer network, and
  • program code means can be stored or are stored on a storage medium, for performing the method according to one of the embodiments described in this description, if the program code means are executed on a computer or on a computer network.
  • a device for multiple transition monitoring of at least one analyte in a sample comprises
  • liquid chromatography mass spectrometer device configured for multiple transition monitoring
  • At least one data base configured for storing at least one data set comprising at least one reference measurement of at least one transition of at least one analyte
  • the evaluation device is configured for determining at least one reference peak information of the transition of the analyte using an initial setting of a measurement window, wherein the measurement window is defined by a time frame of retention times, wherein the evaluation device is configured for determining an actual setting of the measurement window considering the reference peak information, wherein the determining comprises adjusting the time frame, wherein the evaluation device is configured for determining a measured peak information of the transition of the analyte of a subsequent measurement of the transition of the analyte with the liquid chromato graphy mass spectrometry device using the actual setting of the measurement window.
  • the device may be configured to perform the method according to any one of the preced ing embodiments.
  • the device may be configured to perform the method according to any one of the preced ing embodiments.
  • the term “evaluation device” generally refers to an arbitrary device adapted to perform the method steps as described above, preferably by using at least one data processing device and, more preferably, by using at least one processor and/or at least one application-specific integrated circuit.
  • the at least one evaluation device may comprise at least one data processing device having a software code stored thereon comprising a number of computer commands.
  • the evaluation device may provide one or more hardware elements for performing one or more of the named operations and/or may provide one or more processors with software running thereon for performing one or more of the method steps.
  • the methods and devices according to the present invention may provide a large number of advantages over known methods and devices for multiple transition monitoring.
  • dynamic MRMs on the basis of previous runs may free up valuable channel time and consequently increase sampling rate or time for analytes. This is particularly beneficial for analytes that should be measured with high sensitivity.
  • Influences that may be caused by changes of components over their lifetime, e.g. column aging, and/or further impacts such as capillary exchanges, solvent composition inaccuracies, and other factors, and re sulting retention time shifts or changes and impact on spray stabilization, can be compen sated within the boundary of the available time window. Deviations arising from column batch to batch variations can be compensated, too.
  • the method does not require hardware changes but can be implemented as fast and powerful in situ algorithms.
  • Embodiment 1 Method for multiple transition monitoring using a liquid chromatography mass spectrometry device, the method comprises the following steps: a) determining at least one data set from at least one data base, the data set comprising at least one reference measurement of at least one transition of at least one analyte with the liquid chromatography mass spectrometry device; b) determining at least one reference peak information of the transition of the ana lyte using an initial setting of a measurement window, wherein the measurement window is defined by a time frame of retention times; c) determining an actual setting of the measurement window considering the refer ence peak information, wherein the determining comprises adjusting the time frame; d) measuring the transition of the analyte with the liquid chromatography mass spectrometry device and determining a measured peak information of the transi tion of the analyte using the actual setting of the measurement window.
  • Embodiment 2 The method according to the preceding embodiment, wherein the method further comprises updating the data set by adding the measurement of the transition of
  • Embodiment 3 The method according to the preceding embodiment, wherein method steps a) to d) are performed repeatedly, wherein in step a) the most recent measurement is used as reference measurement, wherein in step b) the reference peak information of the transi tion of the analyte is determined using the most recently determined actual setting as initial setting.
  • Embodiment 4 The method according to the pre-preceding embodiment, wherein in step a) a mean value of a plurality of preceding measurements is used as reference measure ment.
  • Embodiment 5 The method according to the preceding embodiment, wherein the mean value is determined by using at least five preceding measurements.
  • Embodiment 6 The method according to any one of the two preceding embodiments, wherein a maximum amount of preceding measurements for calculating the mean value is limited.
  • Embodiment 7 The method according to embodiment 2, wherein in step a) a moving aver age of a plurality of preceding measurements is used as reference measurement.
  • Embodiment 8 The method according to any one of the preceding embodiments, wherein the method further comprises at least one -situ adjustment step, wherein the m-silu ad justment step is performed during step d), wherein in the m-situ adjustment step intensity of the transition of the analyte is monitored during the measurement and compared to at least one predetermined or predefined threshold level, wherein if the intensity falls below the predefined threshold level acquisition of the transition is stopped.
  • Embodiment 9 The method according to the preceding embodiment, wherein the at least one threshold level and/or the at least one threshold value is defined by percentual change of signal intensity to background and/or at least one absolute value is used as threshold for determining exceedance or undershoot.
  • Embodiment 10 The method according to the pre-preceding embodiment, wherein the predetermined or predefined threshold level is given by an end of a fit curve such as a Gaussian curve, wherein the parameters of the fit curve are determined from one or more preceding measurements, and/or wherein the fit curve is determined from a measurement of an internal standard, and/or wherein a combination of fit results of different peaks of the same analyte are used to enhance robustness of the fit result.
  • a fit curve such as a Gaussian curve
  • Embodiment 11 The method according to any one of the preceding embodiments, wherein the reference peak information and/or the measured peak information comprise one or more of: peak maximum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor, and/or any type of peak fitting and filtering.
  • Embodiment 12 The method according to any one of the preceding embodiments, wherein the method comprises at least one initial calibration step, wherein in the initial calibration step the reference measurement and/or the initial setting are determined.
  • Embodiment 13 The method according to the preceding embodiment, wherein the initial calibration step is performed during and/or subsequent to at least one quality control run of the liquid chromatography mass spectrometry device and/or during and/or subsequent to at least one internal standard samples run.
  • Embodiment 14 The method according to any one of the two preceding embodiments, wherein a start of the initial calibration step is triggered by changing of a column of the liquid chromatography mass spectrometry device and/or after a predefined or pre determined time and/or after a predefined or predetermined number of runs, or other suita ble counters.
  • Embodiment 15 The method according to any one of the preceding embodiments, wherein the initial setting comprises a broad time frame of retention times compared to the actual setting.
  • Embodiment 16 The method according to any one of the preceding embodiments, wherein the method comprises repeating method steps a) to d), wherein a width of the measurement window narrows with number of repetitions.
  • Embodiment 17 The method according to any one of the preceding embodiments, wherein the reference measurements and the measuring of the transition of the analyte are per formed under substantially the same conditions.
  • Embodiment 18 The method according to any one of the preceding embodiments, wherein the method steps b) to c) and in step d) the determining of the measured peak information of the transition of the analyte are performed by at least one computer.
  • Embodiment 19 The method according to any one of the preceding embodiments, wherein the method comprises compensating for column aging and/or for further impacts such as capillary exchanges, solvent composition inaccuracies, and the like.
  • Embodiment 20 The method according to any one of the preceding embodiments, wherein the actual setting is determined and/or calculated based on expected retention time and tailing factor, and/or wherein the actual setting is determined by comparing peak and back ground, and/or wherein the actual setting is determined by making a prediction based on a plurality of datasets.
  • Embodiment 21 A device for multiple transition monitoring of at least one analyte in a sample comprising:
  • liquid chromatography mass spectrometer device configured for mul tiple transition monitoring
  • At least one data base configured for storing at least one data set comprising at least one reference measurement of at least one transition of at least one analyte
  • Embodiment 22 The device according to the preceding embodiment, wherein the device is configured to perform the method according to any one of the preceding embodiments re ferring to a method.
  • Figures 1 A and B show a flow chart of a method according to the present invention
  • Figures 2 A and B show a comparison of a usual approach (Figure 2 A) and the method according to the present invention (Figure 2B);
  • Figures 3 A and B show a further comparison of measurement windows of a usual ap proach (Figure 3 A) and of the method according to the present in vention ( Figure 3B);
  • Figure 4 shows a device for multiple transition monitoring according to the present invention.
  • Figure 1 A shows a flow chart of a method for multiple transition monitoring using a liquid chromatography mass spectrometry device 111, an embodiment of which is shown in Fig ure 4, according to the present invention.
  • the method comprises in step a) determining at least one data set 112 from at least one data base 114.
  • the data set 112 comprises at least one reference measurement 116 of at least one transition of at least one analyte with the liquid chromatography mass spectrome try device 111.
  • the data set 112 may be and/or may comprise stored and/or deposited in formation about at least one previous MRM measurement such as from previous runs.
  • the information about the previous MRM measurement may comprise at least one chromato gram and/or at least one information evaluated from the chromatogram such as peak max imum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor, and/or any type of peak fitting and filter ing.
  • the data base 114 may comprise at least one table and/or at least one look-up table in which the at least one data set 112 is stored.
  • the data base may comprise at least one stor age unit configured to store the data set.
  • the reference measurement may comprise or may be at least one known MRM transition.
  • the reference measurement may be at least one measurement of at least one quality control sample acquired during a previous quality control run and/or at least one measurement of at least one internal standard sample acquired during a previous internal standard sample run and/or at least one measurement of the test sample acquired during a previous run.
  • the reference measurement may be at least one measurement acquired and/or determined and/or measured in the same way and under the same or at least similar and/or comparable conditions as the measurement of the actual test sample.
  • the reference measurements and the measuring of the transition of the analyte may be performed under substantially the same conditions.
  • the reference measurement and the measuring of the transi tion of the analyte may be performed under constant chromatographic conditions, specifi cally with the same LC column and eluent.
  • the method may apply to known compounds and well-known conditions.
  • the method may comprise predicting at least one reference measurement, specifically in case of changes of gradients.
  • the predicting may comprise considering aging of LC column, capillary exchanges, solvent composition inaccuracies, and other factors.
  • the method comprises in step b) (denoted with reference number 118) determining at least one reference peak information of the transition of the analyte using an initial setting of a measurement window 120, wherein the measurement window 120 is defined by a time frame of retention times. Examples of measurement windows 120 are shown in Figure 2B.
  • the reference peak information may be at least one information of a peak, i.e. a local max imum, of the chromatogram corresponding and/or relating to the analyte of interest of the reference measurement which is suitable to limit the relevant time frame for measurement of the analyte of interest.
  • the reference peak information may comprise one or more of: peak maximum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor, and/or any type of peak fitting and filtering.
  • the determining of the reference peak information may comprise evaluating 122 the reference measurement.
  • the evaluating 122 may comprise performing at least one data analysis comprising performing at least one peak finding algorithm and/or performing at least one peak fitting algorithm.
  • the evaluating may comprise one or more of checking of raw data, preprocessing, smoothening, background reduction or removal, peak detection, peak integration.
  • the measurement window 120 is defined by a time frame of retention times. Limiting the measurement of the analyte of interest to a certain pre-defmed time frame is generally known.
  • the setting of the measurement window 120 may comprise values for one or both limits of the measurement window 120.
  • the setting of the measurement win dow 120 may comprise one or both of a value for a lower limit of the measurement win dow, i.e. a retention time at which the measurement starts, and a value for an upper limit of the measurement window, i.e. a retention time at which the measurement stops.
  • the initial setting may be a setting of the measurement window 120 which is used for de termining the reference peak information.
  • the initial setting may be pre-determined and/or pre-defmed.
  • the initial setting may be a default setting which may be deposited in the data base.
  • the method may comprise at least one initial calibration step, not shown here, where in in the initial calibration step the reference measurement and/or the initial setting may be determined.
  • the initial calibration step may be performed during and/or subsequent to at least one quality control run of the liquid chromatography mass spectrometry device and/or during and/or subsequent to at least one internal standard samples run.
  • a start of the initial calibration step may be triggered by changing of a column of the liquid chromatography mass spectrometry device 111 and/or after a predefined or pre-determined time and/or after a predefined or predetermined number of runs, or other suitable counters.
  • the initial setting may be a setting of the measurement window 120 determined from the measurement of at least one prior run or a plurality of prior runs, such as a mean value for the limits of the time frame.
  • the method furthermore comprises in step c) determining an actual setting of the meas urement window 120 considering the reference peak information, wherein the determining comprises adjusting the time frame.
  • the actual setting may be a setting of the measurement window 120 determined by considering the reference peak information determined in step b).
  • the actual setting may be determined considering the preceding measurement or a plurality of preceding measurements.
  • the determining of the actual setting may comprise evaluating the reference peak information and thereby determining a lower and/or an upper limit of the measurement window. Specifically, at least one automated analysis of retention times may be performed, denoted with reference number 124.
  • the measurement window may be automatically reassigned, denoted with reference number 126.
  • the actual setting may be determined and/or calculated based on expected retention time and tailing factor.
  • the actual setting may be determined by comparing peak, in particular signal inten sity, and background. For example, signal intensity and background may be compared by defining and/or using at least one threshold value at which the peak starts and/or at least one threshold value at which the peak ends.
  • the actual setting may be determined by mak ing a prediction based on a plurality of datasets.
  • the initial setting may comprise a broader time frame of retention times compared to the actual setting.
  • the initial setting of the measurement window 120 may be se lected so broad such that it is ensured that the peak corresponding to the analyte of interest lies within the time frame.
  • the initial setting of the measurement window 120 may be optimized in view of measurement results which allows for reducing width of the measurement window and/or for positioning the measurement window 120, specifically to take into account changes of the LC column such as due to aging or other changes.
  • the reference measurement may comprise or may be a known MRM transition, wherein the method comprises optimizing their measurement.
  • the determining of the actual setting may comprise adapting and/or changing the initial setting of the measurement window depending on at least one subsequent measurement.
  • the timing of the measurement may be fixed.
  • the retention time may shift and may be adapted based on prior measurements.
  • the method may comprise adjust ment of the MRM scheduled timing as a function of changing parameters over time.
  • the optimized retention time may be used to optimize scheduled MRM measurements and thus freeing up time for more MRM transitions.
  • the method comprises in step d) measuring, denoted with reference number 130, the tran sition of the analyte within a sample with the liquid chromatography mass spectrometry device.
  • the measurement may be triggered 128 by a user e.g. by entering at least one input to at least one human-machine-interface of the liquid chromatography mass spectrometry device 111.
  • the method further comprises in step d) determining a measured peak information, denot ed with reference number 132, of the transition of the analyte using the actual setting of the measurement window 120.
  • the measured peak information may be at least one infor mation of a peak of the chromatogram measured in step d) corresponding and/or relating to the analyte of interest using the actual setting of the measurement window 120.
  • the meas ured peak information comprises one or more of: peak maximum, retention time, peak start time, peak end time, peak width, in particular the full width half maximum, peak shape, tailing factor, and/or any type of peak fitting and filtering.
  • the determining of the meas ured peak information may comprise evaluating the actual measurement.
  • the evaluating may comprise performing at least one data analysis comprising performing at least one peak finding algorithm and/or performing at least one peak fitting algorithm.
  • the method further may comprise updating 134 the data set 112 by adding the measure ment of the transition of the analyte to the data set 112. Specifically, in case the method steps a) to d) are performed repeatedly, the data set 112 may be updated after performing step d) such that the subsequent step a) is performed using an updated initial setting. Thus, the updating 134 may be performed permanently.
  • Method steps a) to d) may be performed repeatedly.
  • the most recent measure ment may be used as reference measurement.
  • the reference peak information of the transition of the analyte may be determined using the most recently determined actual setting as initial setting.
  • a mean value of a plurality of preceding measurements may be used as reference measure ment.
  • the mean value may be determined by using at least five preceding measurements. Additionally or alternatively, in particular in case of larger changes between runs, a mov ing average of a plurality of preceding measurements may be used as reference measure ment. Additionally or alternatively, a maximum amount of preceding measurements for calculating the mean value may be limited. Using more than one measurement may ensure that the reference data is corrected with respect to outliers or sample influence.
  • a width of the measurement window 120 may narrow with number of repetitions. Thus, the measurement window 120 becomes even better and/or more beneficial for clearing up more MS detection window.
  • the detection window may be a time frame in which the mass spectrometry device has to perform a measurement of a sample.
  • Figure IB shows a further flowchart of the method according to the present invention, wherein, in addition to the embodiment shown in Figure 1 A, the method may further com prise at least one in-situ adjustment step 136.
  • the m-situ adjustment step 136 may be per formed during step d).
  • intensity of the transition of the analyte may be monitored during the measurement and compared to at least one predeter mined or predefined threshold level.
  • the liquid chromatography mass spectrometry device 111 may comprise at least one further data base 138 configured for storing at least one def inition of threshold levels and/or threshold values.
  • the at least one threshold level and/or the at least one threshold value may be defined by percentual change of signal intensity to background. Additionally or alternatively, at least one absolute value may be used as threshold for determining exceedance or undershoot.
  • the further data base 138 may be configured to receive (denoted with reference number 142) input information from the data base 114 such as values for the threshold levels.
  • the threshold levels may be data driven. If the intensity falls below the predefined threshold level acquisition of the transition may be stopped.
  • the predetermined or predefined threshold level may be defined by a factor X times the signal-to-noise ratio which is also known from the start.
  • the -situ adjustment step may be implemented as a feedback loop 140 with automated live adjust ment of measurement parameter.
  • a measurement i.e. a specific MRM
  • a run time of the measure ment may be determined on the basis of an actual measured intensity of this MRM.
  • the acquisition of that MRM may be stopped and may allow to free dwell time for other MRMs running at the same time. This approach may be reliable for well articulated peaks. However, prob lems may arise when signal to noise is low, e.g.
  • the predetermined or predefined threshold level may be given by an end of fit curve such as a Gaussian curve.
  • the fit curve may allow defining the peak region such as start of the peak and end of the peak. In partic ular, a certain peak height at the end of the peak, denoted as end of the fit curve, may be used as threshold level.
  • use of a fit curve during measurement is problematic since the full signal is not present at this stage.
  • a fit curve such as a Gaussian curve can be used since the parameters of the Gaussian or other fit curve may be deter mined from the one or more preceding measurements.
  • the fit curve may be determined from a measurement of an internal standard. This may allow ac celerating the fitting procedure. Additionally or alternatively, a combination of fit results of different peaks of the same analyte may be used to enhance robustness of the fit result.
  • the fit curve in particular of a Gaussian, may be independent or less dependent from back ground and, thus, advantageous even at high noise.
  • the method steps b) to c) and in step d) the determining of the measured peak information of the transition of the analyte may be performed by at least one computer. Specifically, the method steps b) to c) and in step d) the determining of the measured peak information of the transition of the analyte may be performed fully automatically.
  • the method specifi cally may fully or partially be computer-implemented, specifically on a computer of a de vice for multiple transition monitoring, such as a processor.
  • Figures 2 A and B show a comparison of a usual approach, shown in Figure 2 A, and the method according to the present invention, shown in Figure 2B, such as described with respect to Figures 1 A and IB. Specifically, intensity I in % as a function of retention time RT in seconds is depicted.
  • the upper plot shows the chromatogram for a new LC column and/or initial conditions and the lower plot shows the chromatogram for an aged LC column and/or potential other changes in the experimental performance of the system.
  • large measurement windows are used in order to compensate potential changes (denoted with arrow 144) over lifetime of the LC column.
  • the measurement window 120 can be maintained constant or can be even nar rowed due to repeating method steps a) to d) and permanent reassignment (denoted with arrow 146) of the measurement window 120 based on prior measurements and in-situ ad justment.
  • Figures 3A and B show a further comparison of measurement windows of a usual ap proach, shown in Figure 3 A and of the method according to the present invention, shown in Figure 3B. Specifically, intensity I in % as a function of retention time RT in seconds is depicted. Moreover, in Figures 3A and 3B seven measurement windows and their width are shown each corresponding to a respective peak in the chromatogram. For the usual approach shown in Figure 3 A large measurement windows are used in order to compensate potential changes over lifetime of the LC column. In contrast, in Figure 3B the measure ment windows 120 are narrowed compared to Figure 3 A. Using such narrow measurement windows is possible due to permanent reassignment of the measurement window 120 based on prior measurements and in-situ adjustment. No safety margins are necessary. The measurements windows show less overlap. Higher sampling rate per peak is possible re sulting in more points per peak.
  • FIG. 4 shows highly schematically a device 110 for multiple transition monitoring ac cording to the present invention.
  • the device 110 comprises the at least one liquid chroma tography mass spectrometer device 111 configured for multiple transition monitoring.
  • the liquid chromatography mass spectrometry device 111 may be or may comprise at least one high-performance liquid chromatography (HPLC) device or at least one micro liquid chromatography (pLC) device.
  • HPLC high-performance liquid chromatography
  • pLC micro liquid chromatography
  • the liquid chromatography mass spectrometry device 111 may comprise a liquid chromatography (LC) device and a mass spectrometry (MS) device, wherein the LC device and the MS are coupled via at least one interface.
  • the LC device may comprise at least one LC column.
  • the LC device may be a single column LC device or a multi-column LC device having a plurality of LC columns.
  • the LC column may have a stationary phase through which a mobile phase is pumped in order to separate and/or elute and/or transfer the analytes of interest.
  • the LC column may be ex changeable, for example after a predefined or pre-determined time and/or number of runs, and/or other suitable counters.
  • the mass spectrometry device may be or may comprise at least one quadrupole mass spectrometry device.
  • the interface coupling the LC device and the MS may comprise at least one ionization source configured for generating of molecular ions and for transferring of the molecular ions into the gas phase.
  • the device 110 further comprises the data base 114 configured for storing the data set 112 comprising the at least one reference measurement 116 of at least one transition of at least one analyte.
  • the data base 114 configured for storing the data set 112 comprising the at least one reference measurement 116 of at least one transition of at least one analyte.
  • the device 110 comprises at least one evaluation device 148.
  • the evaluation device 148 is configured for determining at least one reference peak information of the transition of the analyte using an initial setting of the measurement window 120.
  • the measurement window 120 is defined by a time frame of retention times.
  • the evaluation device 148 is configured for determining an actual setting of the measurement window 120 considering the refer ence peak information.
  • the determining comprises adjusting the time frame.
  • the evalua tion device 148 is configured for determining a measured peak information of the transi tion of the analyte of a subsequent measurement of the transition of the analyte with the liquid chromatography mass spectrometry device 111 using the actual setting of the meas urement window 120.

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Abstract

L'invention concerne un procédé de surveillance de transitions multiples à l'aide d'un dispositif de spectrométrie de masse par chromatographie liquide (111). Le procédé comprend les étapes suivantes : a) déterminer au moins un ensemble de données (112) provenant d'au moins une base de données (114), l'ensemble de données (112) comprenant au moins une mesure de référence (116) d'au moins une transition d'au moins un analyte à l'aide du dispositif de spectrométrie de masse par chromatographie liquide (111) ; b) déterminer au moins une information de pic de référence de la transition de l'analyte à l'aide d'un réglage initial d'une fenêtre de mesure (120), la fenêtre de mesure (120) étant définie par une trame temporelle de temps de rétention ; c) déterminer un réglage réel de la fenêtre de mesure (120) en tenant compte des informations de pic de référence, la détermination consistant à régler la plage de temps ; d) mesurer la transition de l'analyte à l'aide du dispositif de spectrométrie de masse par chromatographie liquide (111) et déterminer une information de pic mesuré de la transition de l'analyte à l'aide du réglage réel de la fenêtre de mesure (120).
EP20823862.6A 2019-12-17 2020-12-16 Procédé et dispositif de surveillance de transitions multiples Pending EP4078169A1 (fr)

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US20220301660A1 (en) 2022-09-22

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